AI & Data · Career Track
Data Analytics
Ask better questions. Build trusted metrics. Tell the business story.
Turn messy business data into decisions, dashboards and confident recommendations.
Advanced layer includedIndustry Edge tools and scenario-based labs beyond the recognized core. Curriculum v1.1 • Updated Jul 2026
Recognized curriculum, prerequisites, assessments, and public fees disclosed before counselling.
Industry Edge Lab includedAdvanced tools, emerging patterns, and scenario-based labs beyond the recognized core.Registration and admissions follow-up continue securely in BharatCampus ONE.
Included beyond the published curriculum
The recognized core is your foundation—not the finish line.
Every Data Analytics cohort also enters the CohortAI Industry Edge Lab: an evolving layer of advanced tool categories, emerging architecture and production patterns, and scenario-based labs. A guided counselling preview connects the most relevant capabilities to your target role, followed by a release-governed lab sequence after enrollment.
Release-governed advanced tools Emerging architecture patterns Scenario-based labs
Fit before enrollment
Who should join
Fresh graduates, non-programmers, operations professionals and business learners targeting analyst roles.
Role pathways
Your starting point
Comfort with spreadsheets and basic arithmetic. Programming experience is not required.
This is not an exclusion filter. It helps us confirm whether you can start directly or would benefit from a short bridge before the cohort.Recognized core
Skills and technology stack
These employability foundations are part of the public learning promise and remain visible before registration.
Microsoft Excel SQL Python pandas Power BI Power Query DAX Statistics Git basics
Build-first curriculum journey
7 missions. One defensible portfolio.
Mentor-led hybrid learning with 1.5-hour live instruction, all-day supervised practice access, weekly build evidence and a version-locked capstone.
M012 weeks · 15 live hours
Analytics thinking and advanced Excel
Analyst Rescue: turn an error-prone monthly workbook into a repeatable reporting asset.
- Business problem framing and stakeholder questions
- Data types, quality and cleaning
- Advanced formulas and lookup patterns
- Pivot tables, charts and conditional analysis
Guided labClean a multi-file sales dataset and build a refreshable management dashboard.
Portfolio evidenceVersioned Excel dashboard, data dictionary and issue log.
AssessmentBusiness-question translation and dashboard review.
M022 weeks · 15 live hours
SQL for analysis
SQL Escape Room: each correct query unlocks the next business clue.
- SELECT, filtering, sorting and expressions
- Joins and relational reasoning
- Aggregations and grouped metrics
- Subqueries, CTEs and set operations
Guided labAnswer a sequence of revenue, retention and operations questions from a relational dataset.
Portfolio evidenceSQL analytics casebook with verified answers and commentary.
AssessmentTimed query challenge and peer query review.
M032 weeks · 15 live hours
Python and pandas for analytics
Data Detective Notebook: move from raw files to three defensible insights.
- Notebook workflow and Python essentials for analysts
- NumPy and pandas data structures
- Cleaning, missing data and type conversion
- Merge, reshape, group and time-series operations
Guided labBuild a reproducible customer-behaviour analysis from raw CSV and JSON files.
Portfolio evidenceExploratory notebook, cleaned dataset and reusable analysis script.
AssessmentNotebook quality, reproducibility and insight review.
M041 week · 7.5 live hours
Statistics for decision-making
Decision Lab: recommend launch, iterate or stop—with uncertainty clearly stated.
- Descriptive statistics and distributions
- Sampling and uncertainty
- Confidence intervals
- Hypothesis testing and practical significance
Guided labEvaluate an experiment and explain whether the observed uplift is commercially meaningful.
Portfolio evidenceExperiment readout with statistical and business interpretation.
AssessmentScenario-based statistics assessment.
M052 weeks · 15 live hours
Power BI dashboards and data modelling
Boardroom Dashboard: answer five executive questions in under three clicks.
- Power Query ingestion and shaping
- Star schema and relationship design
- DAX measures and time intelligence
- Filter context and calculation patterns
Guided labCreate a star-schema model and executive dashboard for sales, margin and customer performance.
Portfolio evidencePower BI report, semantic model diagram and measure catalogue.
AssessmentModel design and dashboard usability review.
M061 week · 7.5 live hours
Storytelling, KPI design and stakeholder communication
One-Slide Challenge: make the decision obvious without hiding uncertainty.
- KPI trees and metric definitions
- Chart choice and visual hierarchy
- Insight versus observation
- Executive summaries and recommendation structure
Guided labConvert a dense analytical report into a five-minute executive decision story.
Portfolio evidenceKPI dictionary, storyboard and stakeholder presentation.
AssessmentPresentation defence and metric-governance review.
M072 weeks · 15 live hours
Portfolio projects and capstone
Insight-to-Impact Demo Day: show what the business should do next and why.
- Portfolio planning and business framing
- Data sourcing and quality log
- Excel/SQL/Python/Power BI integration
- Insight validation and recommendation
Guided labDeliver an end-to-end analytics solution for a chosen business domain with an executive demo.
Portfolio evidenceFour portfolio artifacts, capstone dashboard, analysis notebook and recommendation memo.
AssessmentDemo Day, portfolio rubric and analyst interview simulation.
The week feels different here
A repeatable rhythm from concept to evidence
Weekly rhythm
- 1Concept sprint and visual roadmap
- 2Guided implementation lab
- 3Independent build challenge
- 4Debug, review and production-pattern clinic
- 5Skill check, demo and learning reflection
Learner experience
CohortAI Skill Passport with milestone badges
Build-first weekly checkpoints rather than lecture-only completion
Peer demo and code/design review rituals
Mentor office hours and all-day practice-lab access
Capstone Demo Day with a business narrative, technical walkthrough and interview-style defence
Responsible AI-assisted learning policy: explain, verify and own every submitted artifact
Interview-ready proof
What you will be able to show—not merely claim
These are tangible outputs you can demonstrate, explain, and defend through a technical walkthrough, business narrative, or interview conversation.
Executive Excel and Power Query operations dashboard
SQL business-analysis casebook
Python exploratory-analysis notebook
Power BI semantic model and interactive dashboard
End-to-end business recommendation capstone
Transparent evaluation
How your progress is assessed
Completion standard
Minimum 70% overall, mandatory capstone pass, at least 80% lab submissions and versioned portfolio evidence.
CohortAI Industry Edge Lab
Your published curriculum is the foundation. The Industry Edge is what keeps it moving forward.
The Industry Analytics Lab explores lakehouse, semantic-metric and high-performance local analytics patterns through role-aligned scenarios.
Your counselling preview connects relevant capability categories to your target role. The complete release-governed lab sequence becomes part of the enrolled learning plan.Version-controlled learning promise
DATA-ANALYTICS@1.1.0
Released 24 July 2026 under catalog CAT-2026.09.1. This page presents the approved curriculum, learner outcomes, duration, and public fee for informed comparison.
Straight answers
Frequently asked questions
Who is the Data Analytics program designed for?
Fresh graduates, non-programmers, operations professionals and business learners targeting analyst roles.
What prerequisites do I need?
Comfort with spreadsheets and basic arithmetic. Programming experience is not required.
What is included in the public curriculum?
The public curriculum includes the recognized stack, all 7 module themes, guided labs, portfolio artifacts, assessment model, duration, and public fees. The Industry Edge Preview explains how advanced capability categories extend this foundation for your target role.
Where do counselling and enrollment happen?
CohortAI supports public discovery and program comparison. Registration, consent, counselling follow-up, application updates, and enrollment are managed securely in BharatCampus ONE.